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Vp Of Data Science Jobs in Georgia (NOW HIRING)

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable ...

Kaizen Analytix, LLC.

VP of Data Science

Atlanta, GA · On-site

$150 - $200/hr

... a VP of Data Science . Responsibilities Coordinate multiple client analytics engagements - consisting of both custom and packaged analytics solutions. * Overseeing core delivery teams of Kaizen and ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

We are the leading provider of innovative outdoor living products and utility infrastructure ... data science. * Foster an agile, outcome-focused culture that can rapidly adapt to changing ...

Trella Health

Position Overview: We are seeking a visionary Vice President of Data Strategy to lead our ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field ...

JRG Partners

VP of Manufacturing

Atlanta, GA · On-site

Job Title: VP of Manufacturing Company Overview: Our client is a prominent player in the aerospace manufacturing industry, known for its commitment to excellence, innovation, and quality. We ...

Together For Talent

VP of Sales

Atlanta, GA · On-site

$170K - $190K/yr

Vice President of Sales VP of Sales | Enterprise B2B SaaS for Industrial Operations Location ... Maintain tight CRM discipline, forecasting accuracy, and data-driven decision making. What You ...

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Vp Of Data Science information

See Georgia salary details

$35K

$120.3K

$169.7K

How much do vp of data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vp of data science in Georgia is $120,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $140,600.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science is a senior executive responsible for leading an organization's data science strategy and teams. They oversee the development and implementation of data-driven solutions, manage data scientists and analysts, and collaborate with other business leaders to leverage data for strategic decision-making. Their role often includes setting the vision for data initiatives, ensuring the use of best practices in analytics and machine learning, and driving innovation through data. Additionally, they are responsible for aligning data science projects with overall business goals and ensuring measurable impact.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need deep expertise in statistical modeling, machine learning, and data analytics, backed by an advanced degree in a quantitative field and substantial leadership experience. Familiarity with tools such as Python, R, SQL, cloud platforms, and data visualization systems, as well as experience with data governance frameworks, is typically required. Exceptional communication, strategic vision, and the ability to mentor and lead cross-functional teams are vital soft skills in this role. These skills ensure the effective translation of data-driven insights into business strategies and foster innovation and alignment within the organization.

What are some common challenges faced by a VP of Data Science when leading cross-functional teams?

A VP of Data Science often navigates challenges such as aligning data science initiatives with business goals, managing expectations across departments, and fostering effective communication between technical and non-technical stakeholders. Balancing the need for innovation with practical deliverables can be complex, especially when integrating data-driven insights into existing business processes. Successful VPs build strong relationships with product, engineering, and executive teams to ensure that data science projects deliver measurable value and support organizational growth.

What is the difference between Vp Of Data Science vs Data Science Manager?

AspectVp Of Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project execution, mentoring data scientists
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science and leadershipRelevant experience in data science, leadership skills, often a master's degree
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational, project-focused, team management within data science teams

The Vp Of Data Science holds a senior leadership role focused on strategic direction and organizational impact, while a Data Science Manager concentrates on managing teams and executing projects. Both roles require strong technical backgrounds, but the Vp's scope is broader, involving high-level decision-making and cross-functional collaboration.

How much does a VP of data science make?

A VP of Data Science typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on company size, industry, location, and experience, and the role requires strong leadership, advanced analytics skills, and experience with data tools and teams.

What are the most commonly searched types of Of Data Science jobs in Georgia?

The most popular types of Of Data Science jobs in Georgia are:

What are popular job titles related to Vp Of Data Science jobs in Georgia?

For Vp Of Data Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Vp Of Data Science jobs in Georgia look for?

The top searched job categories for Vp Of Data Science jobs in Georgia are:

Vp Of Data Science jobs near you
Infographic showing various Vp Of Data Science job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,291 per year, or $57.8 per hour.

VP of Data Science

Kaizen Analytix LLC

Atlanta, GA • On-site

Full-time

Re-posted 29 days ago

Key responsibilities

  • Coordinate multiple client analytics engagements involving custom and packaged solutions.

  • Oversee delivery teams and guide project workstream leaders to solve business problems through analytics.

  • Present insights to clients and leadership, and support sales and business development activities.

Job description

Original Post Date: 4/3/2026
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements - consisting of both custom and packaged analytics solutions by...
  • Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
  • Guiding project workstream leaders
  • Solving business problems through excellent decision-making and innovative, strategic ideas
  • Implementing solutions in either client or Kaizen environments

Capabilities for Success:
Candidate should demonstrate an ability to...
  • Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
  • Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects
  • Provide thought leadership and guidance for multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
  • Present high-level insights to client teams (project leadership to executive-level) and Kaizen leadership
  • Facilitate and foster interaction between client and Kaizen teams
  • Supervise contributions to the KA proprietary solution library - KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
  • Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
  • Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross-industry applicability
  • Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
  • Provide industry-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
  • Support sales and business development activities for both existing and new clients
  • Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required
  • Contribute to Kaizen's knowledge capital by writing articles and presenting at industry conferences

Job Requirements:
  • Education and Experience
  • Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience, OR
  • Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience
  • Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
  • Excellent written and verbal communication and presentation skills
  • Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
  • Highly proficient in all Microsoft Office applications
  • Ability to structure and analyze large data sets
  • Thorough understanding of Data Visualization tools (Tableau and Power BI preferred)
  • Through understanding of Agile project management methodology
  • Ability to travel as dictated by business needs

Apply